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The principles of building a parallel program for steganographic file protection

Authors :
Nuriev Marat
Zaripova Rimma
Sitnikov Sergey
Nurgaliev Rustam
Source :
E3S Web of Conferences, Vol 458, p 09027 (2023)
Publication Year :
2023
Publisher :
EDP Sciences, 2023.

Abstract

In the modern era, the unprecedented growth of data and its consequential demands on transmission and storage systems have highlighted the necessity for efficient and secure information processing mechanisms. This paper delves into the potential of steganography as a robust tool for ensuring confidentiality by embedding data covertly within other files. Recognizing the limitations of traditional steganographic techniques in the face of expansive contemporary data sets, the paper explores the amalgamation of parallel programming with steganographic processes. Such a fusion promises to distribute computational tasks effectively, thereby reducing the overall execution time. Detailed discussions underscore the significance of data decomposition, process synchronization, and thread coordination, illustrating how parallel algorithms can markedly expedite concealed data embedding and extraction. However, inherent challenges like minimizing thread communication, optimizing shared data access, and preventing race conditions are brought to the fore. Solutions are proposed through diverse methods, tools, and design strategies aimed at streamlining workload distribution and enhancing task execution. In conclusion, the paper emphasizes that blending steganography with parallel programming can potentially revolutionize data protection systems, with continual refinements in techniques and methods driving the domain towards offering more potent solutions for electronic data confidentiality and security.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English, French
ISSN :
22671242
Volume :
458
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.89080edc7e814aa79191e582604288b1
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/202345809027